#LondonAI11

Jan 25th @ 7:00pm @ Google
Data science, decentralized AI and more

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About London.AI


London's research and product focused machine learning meetup.
Co-organized by @itsflamant and @NathanBenaich
Working closely with Paris AI and ML Berlin

speakers


Data Science, Decentralized AI And More

  • Julien Cornebise

    Honorary Research Associate
    UCL

    Andrew Trask

    Founder
    OpenMined

    Florian Douetteau

    CEO & Founder
    Dataiku

Julien Cornebise
Honorary Research Associate
UCL
Independent Researcher in Machine Learning, ex-DeepMind
Andrew Trask
Founder
OpenMined
DECENTRALIZED ARTIFICIAL INTELLIGENCE OpenMined is a community focused on building open-source technology for the decentralized ownership of data and intelligence. It is commonly believed that individuals must provide a copy of their personal information in order for AI to train or predict over it. This belief creates a tension between developers and consumers. Developers want the ability to create innovative products and services, while consumers want to avoid sending developers a copy of their data. With OpenMined, AI can be trained on data that it never has access to. The mission of the OpenMined community is to make privacy-preserving deep learning technology accessible to consumers, who supply data, and machine learning practitioners, who train models on that data. Given recent developments in cryptography, AI-based products and services do not need a copy of a dataset in order to create value from it. The OpenMined ecosystem incorporates a number of technologies including federated machine learning, blockchain, multi-party computation, and homomorphic encryption. Click on the sections below to learn more about each step in the process.
Florian Douetteau
CEO & Founder
Dataiku
Dataiku develops a collaborative end-to-end software platform called Data Science Studio (DSS) that companies use to accelerate the development of in-house business and predictive solutions. This results in a significant increase in efficiency and productivity for the company’s data scientists, business analysts, and product managers
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